code: def test_decollated(self):
      test_case = {
          "image": torch.tensor([[[1, 2]], [[3, 4]]]),
          "meta": {"out": ["test", "test"]},
          PostFix.meta("image"): {
              "scl_slope": torch.Tensor((0.0, 0.0))
          },
          "loss": 0.85,
      }
      transform = Decollated(
          keys=["meta", PostFix.meta("image")], detach=False
      )
      out = transform(test_case)
      self.assertFalse("loss" in out)
      self.assertEqual(out[0]["meta"]["out"], "test")
      self.assertEqual(out[0][PostFix.meta("image")]["scl_slope"], 0.0)
      self.assertTrue(
          isinstance(
              out[0][PostFix.meta("image")]["scl_slope"], torch.Tensor
          )
      )
      # decollate all data with keys=None
      transform = Decollated(keys=None, detach=True)
      out = transform(test_case)
      self.assertEqual(out[1]["loss"], 0.85)
      self.assertEqual(out[0]["meta"]["out"], "test")
      self.assertEqual(out[0][PostFix.meta("image")]["scl_slope"], 0.0)
      self.assertTrue(
          isinstance(out[0][PostFix.meta("image")]["scl_slope"], float)
      )
  
      # test list input
      test_case = [
          torch.tensor([[[1, 2]], [[3, 4]]]),
          {"out": ["test", "test"]},
          {"scl_slope": torch.Tensor((0.0, 0.0))},
          {"out2": ["test1"]},
          0.85,
          [],
      ]
      transform = Decollated(keys=None, detach=False, fill_value=-1)
      out = transform(test_case)
  
      self.assertEqual(out[0][-2], 0.85)  # scalar replicates
      self.assertEqual(out[1][-2], 0.85)  # scalar replicates
      self.assertEqual(
          out[1][-3], -1
      )  # fill value for the dictionary item
      self.assertEqual(out[0][1]["out"], "test")
      self.assertEqual(out[0][2]["scl_slope"], 0.0)
      self.assertTrue(isinstance(out[0][2]["scl_slope"], torch.Tensor))
  
imports: from __future__ import annotations
  import sys
  import unittest
  from enum import Enum
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data import CacheDataset, DataLoader, Dataset, create_test_image_2d
  from monai.data.utils import decollate_batch
  from monai.transforms import Compose, EnsureChannelFirst, EnsureChannelFirstd, LoadImage, LoadImaged, RandAffine, RandFlip, RandFlipd, RandRotate90, SpatialPad, SpatialPadd, ToTensor, ToTensord
  from monai.transforms.inverse_batch_transform import Decollated
  from monai.transforms.spatial.dictionary import RandAffined, RandRotate90d
  from monai.utils import optional_import, set_determinism
  from monai.utils.enums import PostFix, TraceKeys
  from tests.utils import make_nifti_image
label_desc: Use image node_id 3 for calling the TestBasicDeCollate obj's underlying member method code with example usage: obj.test_decollated() without return types